Comparative Assessment of Image Captioning Models
Mayank, Naveen Kumar Gondhi · Journal of Computational and Theoretical Nanoscience · 2020
Image Captioning is the combination of Computer Vision and Natural Language Processing (NLP) in which simple sentences have been automatically generated describing the content of the image. This paper presents the comparative analysis of different models used for the generation of descriptive English captions for a given image. Feature extractions of the images are done using Convolutional Neural Networks (CNN). These features are then, passed onto Recurrent Neural Networks (RNN) or Long Short-term Memory (LSTM) to generate captions in English language. The evaluation metrics used to appraise the conduct of the models are BLEU score, CIDEr and METEOR.